Data Analyst
Purpose of role
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The Data Analyst is a key member of the Kilimanjaro Transformation P p rogramme, responsible for the accuracy, consistency and integrity of Keyloop’s product and pricing data, with a primary focus on legacy SKU mapping and catalogue validation
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The Data Analyst works closely with Pricing, Product Management a nd , Finance and Billing to ensure that legacy SKUs are accurately mapped to the Product Index architecture and that catalogue and CPQ data reflects the agreed pricing logic
Key Duties & Responsibilities
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Own the mapping of legacy SKUs to the Product Index architecture, documenting the mapping rationale, dependencies and exceptions for each SKU
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Investigate the commercial history of legacy SKUs (including contractual, pricing and billing context) and work with Pricing and Product Management to resolve ambiguities and agree the target mapping
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Validate product catalogue and pricing data on CPQ against the Product Index and the agreed pricing rules; identify, log and drive the resolution of discrepancies
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Design and run repeatable validation checks (e.g. mapping coverage, completeness, duplicates, price and unit consistency) to give confidence in data quality
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Extract, cleanse and reconcile data from legacy systems, the data warehouse and Salesforce, ensuring a clear audit trail from source to target
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Work with Billing and Finance to ensure that mapped SKUs remain consistent with contract and invoice data
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Support data migration and validation activities as required by the programme
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Maintain clear documentation (mapping rules, data definitions and decision log) and report progress, risks and open issues to the Pricing team and programme stakeholders
Key Skills
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Proven experience in data analysis, data mapping and validation of large, complex datasets (ideally product, catalogue or pricing data)
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Proficient in Excel, including advanced lookups, pivot tables, data cleansing and reconciliation
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Comfortable with Salesforce or similar – including database manipulation, extraction and validation
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Strong attention to detail, with a structured approach to investigating legacy data and resolving ambiguity
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Strong written and verbal communication, with good stakeholder management across Pricing, Product, Finance and Billing
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Able to work independently and deliver to programme deadlines in a fixed-term environment
Desired, but not essential:
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Experience with Salesforce CPQ – including product catalogue architecture, pricing rules and data migration/validation
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Experience working on a large CRM, ERP or data migration programme
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Experience with B2B Software as a Service (SaaS) products and pricing
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Comfortable with Power BI
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Experience working in an international environment
Source: the employer's careers page. Last checked 2026-10-14. Posted 2026-10-14.